Frank
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--home-blank-.omp--: MEMORY.md +140 / learned.md / memory_summary.md / raw_memories.md +1002 rewritten by auto-learn after the model rename, frank-medium split-balance and bottleneck studies. Skills renamed to single-topic buckets: dotfile-git-workflow -> ghostty-text-aa + niri-display-rotation + noctalia-theme, handy-service-mgmt -> handy-flm-inference, inference-runtime -> llama-cpp-parallelism. --home-blank-Projects-serverAppConfig--: 38 new rollout summaries, raw_memories.md/MEMORY.md refreshed, skills re-bucketed (bench-protocol, llm-fleet-model-swap, rootless-quadlet-log-retrieval, orchestration-quadlet). Per-worktree bucket (wt-20261006-122204) is now gitignored, not committed.
2 lines
492 B
Markdown
2 lines
492 B
Markdown
Current fleet is stable but marginal on `dankserver` RAM (4600 MT/s). `frank-large` (Halogen) and `frank-primary` (VLLM) are the main inference providers. Watch for `max_tokens` 400 errors on large prompts and orphaned `llama-server` processes after benching. `frank-medium` requires 16384 MiB `CACHE_RAM` for hybrid DeltaNet states. Quadlet units ensure boot persistence. Use `ak shell` for Authentik user management. Distill skills to vaults to reduce context bloat (~38k tokens overhead).
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